Program type:


On Campus
Est. time to complete:

4 years
Credit Hours:

Numbers don’t lie — UNT’s Business Analytics degree prepares students to become leaders of data-driven decision making in organizations.
This STEM-designated degree program provides students with an understanding of business fundamentals and the in-depth knowledge of statistical analysis and modeling methods, tools and techniques to help convert data into actionable insights. Our graduates pursue careers in data science, data analytics, data mining and financial analytics at Fortune 500 companies, medium and small business and nonprofit organizations. This degree qualifies an F-1 student for a STEM OPT extension.

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Why Earn a Business Analytics Degree?

Your Business Analytics professional field courses will focus on:

  • Data management
  • Data mining
  • Data modeling
  • Data visualization
  • Data warehousing
  • Fundamentals of data analytics and model building tools and technologies
  • Fundamentals of economics, accounting, finance, marketing and management
  • Statistical data analysis

You will become familiar with a variety of business analytical tools and software packages. You'll also learn about applications of business analytics in specific fields such as logistics, marketing or business computer information systems by taking supporting courses in the corresponding areas.

Marketable Skills
  • Teamwork
  • Oral and written communication
  • Ethical business and analytics application
  • Mathematical modeling tool competence
  • To assist with business problem analysis/resolution

Business Analytics Degree Highlights

The department of Information Technology and Decision Sciences offers regularly scheduled tutoring sessions during the fall and spring semesters to ensure your academic success.
Networking opportunities are available through the student chapter of the Institute for Operations Research and the Management Sciences (INFORMS), the Association for Information Systems student chapter and the Professional Leadership Program.
UNT's G. Brint Ryan College of Business, one of the nation's largest business colleges, is accredited by AACSB International — The Association to Advance Collegiate Schools of Business. This means the college meets or exceeds high academic standards for excellence in education.

The Business Leadership Building reflects our commitment to preparing future business leaders. The building — which has Gold-level Leadership in Energy and Environmental Design certification for sustainability — contains 24 classrooms, and team study rooms. This building distinguishes the college as a leader in business education.

Several scholarships are available to help you pursue your degree.

What You Can do With a Business Analytics Degree

BBA in Business Analytics graduates get jobs such as:

  • Business analyst
  • Data analyst
  • Supply Chain analyst
  • Business intelligence developer/modeler
  • Data mining professional
  • Data scientist
  • Market research analyst
  • Operations research analyst
  • Production planner/scheduler

Graduates continue on to leadership roles such as:

  • Chief data scientist
  • Director of analytics
  • Chief Information Officer
  • Business Intelligence (BI) Competency Center Director

Business Analytics Degree Courses You Could Take

Management Science (3 hrs)Introduction to operations research for business decision making. Spreadsheet methods are used to evaluate the following
deterministic models, allocation problems, linear programming, sequencing and scheduling and network models.
Enterprise Applications of Business Intelligence/Analytics (3 hrs)
Current issues in the utilization of business intelligence/analytics (BI/A) in organizations. Topics include the concepts, methodologies and tools to efficiently and effectively implement BI/A endeavors. The focus is on understanding how BI/A is needed and used in organizations today and how to resolve the often conflicting variety of BI/A offerings.
Modeling for Business Intelligence (3 hrs)
How modeling for business intelligence systems can be utilized as a key element within a managerial decision process. Attention is paid to how and why such a model is used in a BI support system environment.
Introduction to Data Mining (3 hrs)
Knowledge discovery in large databases, using data mining tools and techniques. Topics include data exploration, modeling and model evaluation. Decision making in a case-embedded business environment is emphasized.
Analytics for Decision Making (3 hrs)
Study of the analytics that underlie the process of decision making and the information requirements of decisions; decision support tool selection, process improvement and applications development.
Introduction to Data Warehousing (3 hrs)
Investigates model-based approaches to the design of data warehouses. Examines their critical role in decision systems for business and industry.

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